18 citations · 24 across the 17 of their papers we have counts for
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Shallow Quantum Circuits for Geometrically Local Lindblad Dynamics
Zheyu Shen, Yusen Wu, Xiao Yuan +1
Open-system dynamics govern decoherence, transport, and engineered dissipation in quantum many-body systems. We propose a quantum algorithm for simulating time-independent, finite-…
Quantum Advantage with Adaptive Shallow Circuits
Yusen Wu, Yukun Zhang, XIaoming Zhang +2
Quantum advantage is widely expected to require sufficiently deep circuits, where correlations and global computational structure can grow beyond the reach of efficient classical s…
Efficient Lindbladian Learning from Constant-Time Pauli Responses
Jiaxing Song, Yukun Zhang, Xiao Yuan +1
Learning the generator of an open many-body system is more challenging than Hamiltonian learning: local responses, which can directly reveal coherent interaction terms in closed-sy…
Streaming the partial-transpose moment hierarchy with order-independent quantum memory
Junxiang Huang, Xiaoyang Wang, Xiao Yuan +1
Partial transposition reveals mixed-state entanglement through the spectrum of , but this operator is not generally a physical state. Its power moments are accessible…
Complexity-driven transitions in quantum observation
Zhenyu Du, Siyuan Cheng, Han Ye +3
Observing the physical world is a foundational pursuit in science. In the quantum realm, however, observation necessitates a fundamental quantum-to-classical conversion: destructiv…
A Resource Comparison of Logical T-State Preparation
Jianshuo Gao, Xiao Yuan, Yuan Yao
Logical T state preparation is a major overhead source in fault tolerant architectures built from stabilizer operations. Existing protocols, however, are reported under different c…
A Variational Dissipative Framework for Quantum Algorithms
Yuan Yao, Ruipeng Xing, Yongjian Gu +2
Dissipation engineering has attracted growing interest as an approach to controlling open quantum systems through engineered system-environment interactions. Standard variational q…
Beyond Monolithic Scaling: Modularity and Heterogeneity as an Architectural Imperative for Utility-Scale Quantum Computing
Bo Fan, Renzhou Fang, Yuntao Zhang +2
Scalable quantum computing is fundamentally bottlenecked not by qubit count or fabrication yield, but by a rigid temporal mismatch: macroscopic classical coordination latency ($τ_c…
Efficient Noisy Quantum State and Process Tomography
Chenyang Li, Shengxin Zhuang, Yukun Zhang +4
Efficiently characterizing large quantum states and processes is a central yet notoriously challenging task in quantum information science, as conventional tomography methods typic…
Obtaining Accurate Ground-State Properties on Near-term Quantum Devices
Qi-Ming Ding, Jiawei Peng, Junxiang Huang +6
Accurate ground-state calculations on noisy quantum computers are fundamentally limited by restricted ansatz expressivity and unavoidable hardware errors. We introduce a hybrid-qua…
Heisenberg-Limited Quantum Eigenvalue Estimation for Non-normal Matrices
Yukun Zhang, Yusen Wu, Xiao Yuan
Estimating the eigenvalues of non-normal matrices is a foundational problem with far-reaching implications, from modeling non-Hermitian quantum systems to analyzing complex fluid d…
Measuring Less to Learn More: Quadratic Speedup in learning Nonlinear Properties of Quantum Density Matrices
Yukun Zhang, Yusen Wu, You Zhou +1
A fundamental task in quantum information science is to measure nonlinear functionals of quantum states, such as . Intuitively, one expects that computing a …
Heisenberg limited quantum algorithm for estimating the fidelity susceptibility
Yukun Zhang, Xiao Yuan
The fidelity susceptibility serves as a universal probe for quantum phase transitions, offering an order-parameter-free metric that captures ground-state sensitivity to Hamiltonian…
One- and two-dimensional cluster states for topological phase simulation and measurement-based quantum computation
Tao Jiang, Jianbin Cai, Junxiang Huang +152
Quantum entanglement is a fundamental resource for quantum information processing and serves as a critical benchmark for quantum hardware performance. Cluster states are a special…
Hamiltonian Dynamics Learning: A Scalable Approach to Quantum Process Characterization
Yusen Wu, Yukun Zhang, Chuan Wang +1
Quantum process characterization is a fundamental task in quantum information processing, yet conventional methods, such as quantum process tomography, require prohibitive resource…
Fault-tolerant quantum algorithms for quantum molecular systems: A survey
Yukun Zhang, Xiaoming Zhang, Jinzhao Sun +4
Solving quantum molecular systems presents a significant challenge for classical computation. The advent of early fault-tolerant quantum computing (EFTQC) devices offers a promisin…
A Dequantized Algorithm for the Guided Local Hamiltonian Problem
Yukun Zhang, Yusen Wu, Xiao Yuan
The local Hamiltonian (LH) problem, the quantum analog of the classical constraint satisfaction problem, is a cornerstone of quantum computation and complexity theory. It is known…
Classical Algorithms for Hamiltonian Dynamics Mean Value and Guided Local Hamiltonian Problem
Yusen Wu, Yukun Zhang, Chuan Wang +1
The efficient simulation of quantum dynamics and ground states is a central challenge in physics and a key frontier for quantum advantage. While short-time evolution in one-dimensi…